YMR085W Antibody binds specifically to the YMR085W protein encoded by the YMR085W gene in Saccharomyces cerevisiae. The gene is annotated in the Saccharomyces Genome Database (SGD) as part of chromosome XIII and is associated with uncharacterized biological processes . The antibody’s epitope corresponds to residues within the YMR085W protein, facilitating detection in assays such as Western blotting and immunofluorescence .
YMR085W was identified in a yeast genetic screen investigating metabolic dysregulation in neurodegenerative disease models. Deletion of YMR085W altered glycolytic flux and redox balance, suggesting its role in central carbon metabolism . The antibody enabled quantification of YMR085W protein levels under stress conditions, correlating with transcriptomic data .
Immunofluorescence studies using YMR085W Antibody revealed cytoplasmic localization of the protein, consistent with its putative role in metabolic enzyme regulation .
Phylogenetic analysis shows YMR085W homologs in Candida and Schizosaccharomyces species, though functional conservation remains unverified . The antibody’s specificity avoids cross-reactivity with non-target species .
Supplier: Cusabio (Catalog: CSB-PA315385XA01SVG) .
Validation Data:
Storage: Stable at -20°C for 2 years; avoid freeze-thaw cycles .
Limitations: Not validated for chromatin immunoprecipitation (ChIP) or in vivo neutralization assays .
Research leveraging YMR085W Antibody could explore:
YMR085W is an open reading frame (ORF) in the yeast Saccharomyces cerevisiae with currently unknown function. Researchers develop antibodies against YMR085W primarily to study its expression patterns, protein interactions, and potential roles in cellular processes. Genetic interaction screens have identified YMR085W as having synthetic sick (SS) interactions with certain mutant alleles, suggesting it may participate in important cellular pathways . Antibodies provide a powerful tool for detecting, quantifying, and localizing the protein product of this gene to elucidate its function.
For studying yeast proteins like YMR085W, both polyclonal and monoclonal antibodies have specific applications. Polyclonal antibodies offer broader epitope recognition and higher sensitivity, making them useful for initial detection experiments. Monoclonal antibodies provide higher specificity and consistency across experiments, which is valuable for precise localization studies and purification applications. For yeast proteins with unknown function like YMR085W, researchers often begin with polyclonal antibodies raised against recombinant proteins or synthetic peptides corresponding to predicted antigenic regions of the protein.
To validate YMR085W antibody specificity, implement these methodological approaches:
Western blot comparison using wild-type yeast versus YMR085W deletion strains
Immunoprecipitation followed by mass spectrometry validation
Preabsorption tests with purified antigen
Testing antibody reactivity across related yeast species with different YMR085W homologs
Expression of tagged YMR085W and parallel detection with both tag-specific and YMR085W antibodies
Each validation approach provides complementary evidence for antibody specificity, and researchers should implement at least two methods before proceeding to experimental applications .
For optimal Western blotting with YMR085W antibodies, consider these methodological parameters:
Sample preparation: Extract yeast proteins using glass bead lysis in buffer containing protease inhibitors to prevent degradation
Gel percentage: 10% SDS-PAGE gels are typically appropriate for resolving yeast proteins of unknown size
Transfer conditions: Use nitrocellulose membranes with standard transfer buffer (as used for Not4p detection)
Blocking: 5% non-fat dry milk in TBST (Tris-buffered saline with 0.1% Tween-20)
Primary antibody incubation: Optimize dilutions (typically 1:1000 to 1:5000) in blocking buffer overnight at 4°C
Secondary antibody: Choose based on primary antibody species, with HRP-conjugates at 1:5000-1:10000 dilution
Detection: Enhanced chemiluminescence with exposure times optimized for signal-to-noise ratio
Each parameter should be empirically optimized for the specific YMR085W antibody used in your experiments.
When designing experiments to study genetic interactions of YMR085W:
Begin with systematic screens like synthetic genetic array (SGA) analysis as used in the study of Not4 mutants
Focus on interactions with genes involved in ubiquitin pathways and transcriptional regulation, as these were enriched in screens with other genes showing SS phenotypes with YMR085W
Perform tetrad dissection to confirm genetic interactions identified in screens
Establish quantitative phenotypic assays for measuring interaction strength (growth rates, stress response)
Use antibodies to monitor protein levels in single and double mutant backgrounds
Complement genetic studies with protein-protein interaction approaches (co-immunoprecipitation with YMR085W antibodies)
This comprehensive approach will maximize detection of meaningful genetic interactions while minimizing false positives.
For rigorous immunoprecipitation experiments with YMR085W antibodies, include these essential controls:
No-antibody control to assess non-specific binding to beads
Isotype-matched control antibody (unrelated specificity) to measure background
YMR085W deletion strain as a negative control
Input sample (5-10% of starting material) for quantitative recovery assessment
Competitive peptide blocking control if using peptide-derived antibodies
Pre-immune serum control if using polyclonal antibodies
Tagged YMR085W constructs with tag-specific antibodies as a positive control system
These controls allow for accurate interpretation of results and identification of true interaction partners versus artifacts .
To investigate YMR085W protein-protein interactions in transcriptional regulation contexts:
Perform co-immunoprecipitation with YMR085W antibodies followed by western blotting for candidate interactors or mass spectrometry for unbiased discovery
Apply chromatin immunoprecipitation (ChIP) using YMR085W antibodies to identify DNA-binding sites if YMR085W associates with chromatin
Implement proximity labeling approaches (BioID or APEX) with YMR085W as bait to capture transient interactions
Conduct sequential ChIP (re-ChIP) experiments if YMR085W is part of transcriptional complexes
Use fluorescence resonance energy transfer (FRET) with fluorescently labeled antibodies to detect interactions in situ
Analyze genetic interaction profiles with transcriptional regulators similar to those performed with Not4 and Not5
These approaches provide complementary data on physical associations and functional relationships between YMR085W and transcriptional machinery.
When facing contradictory findings in YMR085W antibody-based studies, implement these resolution strategies:
Verify antibody specificity using multiple validation methods, as antibody cross-reactivity can cause misleading results
Use complementary detection methods (e.g., mass spectrometry, RNA-seq) to corroborate antibody-based findings
Implement CRISPR-Cas9 editing to generate epitope-tagged endogenous YMR085W to compare with antibody detection
Test multiple antibodies targeting different epitopes of YMR085W to rule out epitope masking or conformation-specific detection
Evaluate experimental conditions systematically (detergents, salt concentrations, pH) as they may affect protein complex stability
Consider post-translational modifications that might affect antibody recognition
Perform time-course experiments to capture dynamic processes that may explain seemingly contradictory static observations
This methodical approach helps identify sources of variation and reconcile disparate experimental outcomes.
To integrate YMR085W antibodies into high-throughput proteomics workflows:
Develop immunoaffinity purification protocols optimized for mass spectrometry compatibility
Implement antibody-based protein arrays for detecting YMR085W interactions across diverse conditions
Apply reverse-phase protein arrays to quantify YMR085W levels across multiple samples simultaneously
Use antibody-based proximity ligation assays for high-throughput screening of protein interactions
Develop multiplexed immunofluorescence approaches utilizing YMR085W antibodies with distinct fluorophores
Incorporate YMR085W antibodies into automated immunoprecipitation workflows coupled to LC-MS/MS analysis
Apply single-cell proteomics techniques using YMR085W antibodies to assess protein expression heterogeneity
These advanced applications enable systems-level analysis of YMR085W function across diverse experimental conditions.
For optimal recombinant YMR085W production for immunization:
E. coli expression systems: BL21(DE3) strains with pET vectors are cost-effective but may require optimization for yeast protein folding
Yeast expression systems: S. cerevisiae or P. pastoris systems provide eukaryotic post-translational modifications
Insect cell systems: Baculovirus expression provides higher eukaryotic processing capabilities
Mammalian cell expression: Systems like ExpiCHO (as used for antibody production in the second study) offer the most complex eukaryotic processing
For YMR085W, a protein of unknown function, parallel expression in bacterial and eukaryotic systems is advisable to compare antigenic properties. Purification should employ affinity tags (His, GST) followed by size exclusion chromatography to ensure high purity for immunization.
When producing monoclonal antibodies against YMR085W, follow these methodological guidelines:
Antigen design: Use bioinformatic analysis to identify immunogenic, surface-exposed regions of YMR085W
Immunization strategy: Implement prime-boost protocols with different adjuvants in BALB/c mice
Hybridoma selection: Screen initially by ELISA against the immunogen, followed by western blot and immunoprecipitation with yeast lysates
Cloning strategy: Perform multiple rounds of limiting dilution to ensure monoclonality
Isotype determination: Characterize antibody isotypes to optimize purification and application protocols
Epitope mapping: Define the exact binding site to understand potential functional interference
Production scale-up: Consider serum-free adaptation for long-term production
The hybridoma screening strategy should prioritize antibodies that recognize native YMR085W in yeast extracts rather than just the immunogen.
To develop advanced engineered antibody formats for YMR085W research:
Generate Fab fragments through enzymatic digestion or recombinant expression for better tissue penetration in microscopy
Create single-chain variable fragments (scFvs) for fusion with fluorescent proteins or enzymatic reporters
Develop bispecific antibodies targeting YMR085W and potential interacting partners for co-localization studies
Implement meditope technology as described in the second study to create modular recognition systems
Engineer antibodies with site-specific conjugation sites for controlled labeling with minimal interference
Develop intrabodies with nuclear localization signals for targeting YMR085W in specific subcellular compartments
Apply recombinant engineering to humanize antibodies for potential in vivo applications
These engineered formats expand the research toolkit beyond conventional antibodies for specialized applications in complex cellular contexts.
Common background sources in YMR085W immunofluorescence and their solutions include:
Non-specific antibody binding: Optimize blocking with 5% BSA or normal serum matching the secondary antibody species
Autofluorescence: Implement quenching steps (0.1% sodium borohydride or 50mM NH₄Cl) or use confocal microscopy with narrow bandpass filters
Fixation artifacts: Compare methanol, paraformaldehyde, and combined fixation protocols to identify optimal conditions
Secondary antibody cross-reactivity: Use highly cross-adsorbed secondary antibodies and include secondary-only controls
Epitope masking: Test different antigen retrieval methods (heat-induced, enzymatic) to optimize epitope accessibility
Over-fixation: Titrate fixative concentration and duration to minimize artifactual staining
Mounting medium incompatibility: Test multiple mounting media for background reduction
Systematic optimization of these parameters will significantly improve signal-to-noise ratio in immunofluorescence experiments.
To manage batch-to-batch variability in YMR085W antibodies:
Maintain reference samples with known YMR085W levels to calibrate new antibody batches
Perform side-by-side validation experiments with old and new batches across multiple applications
Develop quantitative validation metrics (signal-to-noise ratio, detection threshold) for objective comparison
Create large-scale single-batch preparations and aliquot for long-term storage
Consider recombinant antibody technologies that offer greater consistency than hybridoma or animal-derived antibodies
Implement internal standards and normalization methods in quantitative applications
Document lot-specific optimal conditions (dilution, incubation time) for each application
These strategies minimize experimental variability introduced by antibody batch differences.
To overcome epitope masking when YMR085W forms protein complexes:
Develop antibody panels targeting different epitopes across the YMR085W sequence
Implement gentle extraction conditions that preserve native complexes alongside denaturing conditions for comparative analysis
Use epitope mapping to identify antibodies recognizing regions less likely to be involved in protein-protein interactions
Apply limited proteolysis to partially digest complexes before immunodetection
Implement proximity labeling approaches (BioID, APEX) as alternatives to direct antibody detection
Use competitive elution with epitope peptides to release YMR085W from antibody in complex-preserving conditions
Consider native gel electrophoresis with subsequent western blotting to visualize YMR085W in intact complexes
These approaches provide complementary strategies to detect YMR085W regardless of its interaction state.
For rigorous quantitative analysis of YMR085W antibody data:
Normalize Western blot signals to multiple loading controls (e.g., GAPDH, actin, total protein stain) to ensure robust quantification
Implement internal standard curves with purified recombinant YMR085W for absolute quantification
Use relative quantification methods (ΔΔCt equivalent for protein) when comparing experimental conditions
Apply statistical normalization methods appropriate to the data distribution (e.g., quantile normalization for high-throughput data)
Consider normalization to cell number or total protein concentration for cell-based assays
Implement SILAC or TMT labeling for mass spectrometry-based quantification of immunoprecipitated samples
Document normalization methods comprehensively in research reports for reproducibility
These normalization approaches ensure meaningful comparisons across experimental conditions and between studies.
To distinguish direct from indirect effects in YMR085W studies:
Implement inducible or rapid degradation systems to observe immediate versus delayed consequences of YMR085W depletion
Perform epistasis analysis similar to those conducted with Not4 mutants to place YMR085W in functional pathways
Use structure-function studies with domain deletions or point mutations to link specific YMR085W regions to observed phenotypes
Apply kinetic studies to establish temporal relationships between YMR085W activity and downstream effects
Integrate genetic interaction data with physical interaction data to build causal networks
Use computational modeling to predict direct effects based on protein interaction networks
Implement cross-linking approaches before immunoprecipitation to capture direct physical interactions
This multifaceted analytical approach helps establish mechanistic links between YMR085W and observed phenotypes.
Integrating YMR085W antibodies with CRISPR-Cas9 technologies offers these research advantages:
Generate endogenously tagged YMR085W to compare antibody detection with tag-based detection
Create precise point mutations to study structure-function relationships while monitoring protein levels
Implement CRISPRi for partial knockdown to identify dosage-sensitive functions while quantifying protein levels with antibodies
Use CRISPR screens to identify genetic interactors, followed by antibody-based validation of protein relationships
Apply CRISPR activation (CRISPRa) to upregulate YMR085W expression and study concentration-dependent functions
Create cellular models with fluorescent protein fusions for live imaging, complemented by fixed-cell antibody studies
Implement tissue-specific or inducible knockout systems combined with antibody detection in complex samples
This combined approach leverages the precision of CRISPR-Cas9 with the detection capabilities of antibodies.
Emerging technologies enhancing YMR085W spatial proteomics include:
Multiplexed ion beam imaging (MIBI) using metal-conjugated YMR085W antibodies for high-resolution localization
Expansion microscopy to physically enlarge samples for improved resolution of YMR085W localization
DNA-PAINT super-resolution microscopy with DNA-conjugated YMR085W antibodies
Proximity ligation assays to visualize YMR085W interactions at nanoscale resolution
Mass cytometry (CyTOF) with metal-labeled antibodies for single-cell analysis of YMR085W in heterogeneous populations
In situ sequencing approaches combined with immunodetection for spatial transcriptomics-proteomics correlation
Light-sheet microscopy with cleared tissue samples for 3D visualization of YMR085W distribution
These technologies dramatically enhance spatial resolution and multiplexing capabilities beyond conventional immunofluorescence.
Systems biology integration of YMR085W antibody data can involve:
Network analysis combining YMR085W-centric protein-protein interaction data with genetic interaction networks (similar to the comprehensive analysis performed for Not4)
Integration of YMR085W localization data across conditions to identify context-dependent functions
Multi-omics data integration correlating YMR085W protein levels with transcriptomics, metabolomics, and phenomics data
Dynamic network modeling incorporating time-resolved YMR085W antibody data to infer causal relationships
Cross-species comparative analysis of YMR085W homologs using antibodies with conserved epitope recognition
Machine learning approaches to identify patterns in high-dimensional YMR085W antibody-based screening data
Development of predictive models for YMR085W function based on integrated datasets
These approaches position YMR085W within broader cellular networks, providing context for its unknown functions.